AI Engineer – Security Agents & Automation

About Us

We are an ambitious cybersecurity startup developing innovative solutions to help enterprises protect against evolving threats. As an AI Engineer, you will architect, build, and optimize the intelligent security agents that power our assessment engine, combining deep AI expertise with hands-on security engineering to deliver autonomous, high-impact capabilities.

Role Overview

We're looking for a seasoned engineer with strong experience in applied AI/ML, cybersecurity, and agentic system design. You'll take full ownership of developing AI-based security agents: from designing LLM-driven workflows and detection logic, to integrating them into our broader platform, to ensuring they operate reliably, safely, and securely in production environments.

This is a highly technical, hands-on founding role ideal for someone who thrives at the intersection of AI engineering, security analysis, and system design. You'll work closely with the founding team to push the boundaries of AI-driven cybersecurity while establishing the foundation for our long-term AI strategy, tooling, and engineering culture.

Key Responsibilities

• Architect, build, and refine AI-powered security agents capable of autonomous analysis, detection, and decision-making.
• Develop agentic workflows leveraging LLMs, embeddings, RAG pipelines, and reasoning frameworks.
• Implement and optimize AI models for security use cases such as vulnerability detection, threat analysis, exploit simulation, and incident triage.
• Integrate AI agents into our SaaS platform, collaborating closely with backend, DevSecOps, and product teams.
• Build secure, reliable inference pipelines, ensuring robust evaluation, monitoring, and guardrails for AI behavior.
• Conduct hands-on cybersecurity research to model attacker techniques, test agent performance, and continuously improve detection logic.
• Develop internal tooling for dataset generation, automated labeling, and offline evaluation of agent quality.
• Implement observability, model drift detection, and safe-execution environments for agents interacting with sensitive data and systems.
• Drive internal AI security reviews, red-team testing, and alignment/safety processes.
• Mentor early teammates and help shape our AI engineering standards, workflows, and culture.

Requirements

• 6+ years of experience in AI engineering, ML engineering, or security engineering roles, ideally within cybersecurity or ML-heavy environments.
• Strong hands-on experience with LLMs, model fine-tuning, RAG, vector databases, and agent frameworks (OpenAI tools, LangChain, DSPy, custom pipelines, etc.).
• Deep understanding of cybersecurity fundamentals, offensive/defensive techniques, and security automation.
• Proficiency in Python and experience building production-grade AI systems.
• Experience with secure model deployment, scalable inference infrastructure, and CI/CD workflows for ML.
• Solid understanding of cloud platforms, containerization, and modern DevSecOps practices.
• Strong grasp of evaluation techniques for AI agents, including reasoning benchmarks, red-teaming, and safety testing.
• Excellent problem-solving and systems-thinking abilities, with a track record of building and delivering complex technical systems.

What We Offer

• Competitive base salary + equity in a fast-growing cybersecurity startup.
• Ownership of the entire AI agent architecture powering our core product.
• Direct collaboration with founders and early influence on our AI roadmap and strategic direction.
• A unique opportunity to shape the future of AI-driven cybersecurity and grow into a technical leadership role as we scale globally.